Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/73247
Título: | Using optical flow to reduce noise in image sequences | Autores/as: | Dudek -, Roman Quintana, Francisca Cuenca, Carmelo |
Clasificación UNESCO: | 220990 Tratamiento digital. Imágenes 120304 Inteligencia artificial |
Palabras clave: | Noise reduction Optical flow |
Fecha de publicación: | 2009 | Conferencia: | 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009 | Resumen: | In this paper we propose a method for noise reduction in image sequences, based on the optical flow, consisting in tracking each pixel's position in the previous and following images. In some cases the optical flow imperfections can cause artifacts. To prevent them we also propose an improvement to the method based on the estimation of the imperfections of the optical flow. Using that estimation we adaptatively choose either a temporal or a spatial based noise reduction algorithm to be applied in different image zones. Our results show an important noise reduction, even with complex image sequences. | URI: | http://hdl.handle.net/10553/73247 | ISBN: | 978-1-60132-119-0 | Fuente: | Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009, v. 2, p. 965-970, (Diciembre 2009) |
Colección: | Actas de congresos |
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